Friday, October 15, 2021 12:00 pm
Health data is critical for health care decision making and policy development. It can be used to determine a course of treatment, coverage eligibility, and even insurance premiums, but can be vulnerable to flaws like missing information or bias. The COVID-19 pandemic presents a notable example of the challenges and opportunities in leveraging health data. We relied on data to guide our pandemic response, however, research has shown that doing so may have perpetuated the inequities we witnessed. So, what happens if a decision-making tool learns from incomplete or biased data? Can it be reversed? This briefing will provide a primer on health data, how we use it, and how we process it. Attendees will understand the challenges of leveraging health data for decision-making and the implications for providers, payers, and patients during the COVID-19 pandemic. Panelists will discuss how to ensure that data is translated into unbiased information and how we can catch, solve, and prevent flaws in data for more equitable care.
Alliance for Health Policy